[2512.18925] Beyond the Prompt: An Empirical Study of Cursor Rules

[2512.18925] Beyond the Prompt: An Empirical Study of Cursor Rules

arXiv - AI 4 min read

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Abstract page for arXiv paper 2512.18925: Beyond the Prompt: An Empirical Study of Cursor Rules

Computer Science > Software Engineering arXiv:2512.18925 (cs) [Submitted on 21 Dec 2025 (v1), last revised 4 Mar 2026 (this version, v3)] Title:Beyond the Prompt: An Empirical Study of Cursor Rules Authors:Shaokang Jiang, Daye Nam View a PDF of the paper titled Beyond the Prompt: An Empirical Study of Cursor Rules, by Shaokang Jiang and 1 other authors View PDF HTML (experimental) Abstract:While Large Language Models (LLMs) have demonstrated remarkable capabilities, research shows that their effectiveness depends not only on explicit prompts but also on the broader context provided. This requirement is especially pronounced in software engineering, where the goals, architecture, and collaborative conventions of an existing project play critical roles in response quality. To support this, many AI coding assistants have introduced ways for developers to author persistent, machine-readable directives that encode a project's unique constraints. Although this practice is growing, the content of these directives remains unstudied. This paper presents a large-scale empirical study to characterize this emerging form of developer-provided context. Through a qualitative analysis of 401 open-source repositories containing cursor rules, we developed a comprehensive taxonomy of project context that developers consider essential, organized into five high-level themes: Conventions, Guidelines, Project Information, LLM Directives, and Examples. Our study also explores how this context var...

Originally published on March 05, 2026. Curated by AI News.

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